skill-creator

Guide creating and structuring AI skills with SKILL.md, scripts, references, and assets.

2.3k|357|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/MaxMiksa/Auto-Company --skill skill-creator-maxmiksa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/MaxMiksa/Auto-Company/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/MaxMiksa/Auto-Company --skill skill-creator-maxmiksa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide for creating and structuring effective AI skills, ensuring they are concise, modular, and efficient for AI agents.

Core Features & Use Cases

  • Skill Anatomy: Understand the structure of a skill unit (SKILL.md, scripts, references, assets).
  • Design Principles: Learn core principles like conciseness, progressive disclosure, and setting appropriate degrees of freedom.
  • Creation Process: Follow a step-by-step guide for developing new skills, from understanding requirements to iteration.
  • Use Case: A developer needs to create a new skill to help an AI agent manage cloud deployments. They would use this skill to understand best practices for structuring the skill's documentation, scripts, and reference materials.

Quick Start

Use the skill-creator to understand how to structure a new AI skill.

Frequently Asked Questions about skill-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the structure of an AI agent skill?

An AI agent skill consists of a SKILL.md documentation file, scripts, references, and assets. This modular anatomy ensures AI agents can efficiently process instructions and execute specialized workflow design tasks.

How do I create a new skill for an AI agent?

To create an AI skill, follow a step-by-step development process from understanding requirements to iteration. This involves structuring documentation, scripts, and references while applying principles like conciseness and progressive disclosure.

What are the core design principles for effective prompt engineering and skill creation?

Effective prompt engineering and skill creation rely on principles of conciseness, progressive disclosure, and setting appropriate degrees of freedom. These design rules ensure AI agents process modular instructions efficiently without being overwhelmed.

Can I use this guide to build AI development skills for specific tasks like cloud deployment management?

Yes, you can use this skill creation guide to build AI development capabilities for specific tasks like cloud deployment management. It provides best practices for structuring the necessary documentation, scripts, and reference materials.

Why should AI skills be modular and concise rather than comprehensive?

AI skills should be modular and concise to ensure efficient agent development and execution. This design approach prevents overwhelming the AI with excessive context, allowing it to process progressive disclosures and specific references accurately.